Large Language Models (LLMs) need to be both helpful and safe, but achieving both is a major challenge. We propose MidPO, a Mixture of Experts (MoE) framework that fine-tunes two specialized experts for safety and helpfulness and uses a dynamic routing mechanism to adaptively balance them, outperforming existing methods.

Dual-perspective, dual-granularity fairness evaluation for LLM-based job recommendation: we assess bias from both the user and the recruiter sides, at individual and group levels.

AI-generated images are more visually stunning than ever, but how do they really stack up against natural, real-world photos? We introduce D-Judge, a large-scale benchmark designed to systematically investigate and quantify the discrepancies that remain.

After careful design and development, the official website of the Knowledge Intelligence Lab (KILab) at Sun Yat-sen University is now fully upgraded and online! The new website adopts modern design concepts, providing visitors with a clearer and more intuitive browsing experience.

We are pleased to announce that Professor Ziyu Lyu officially joined the School of Cyber Science and Technology at Sun Yat-sen University in September 2023, serving as Associate Professor and Ph.D. Supervisor.